The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...

Abstract: In this paper, we address the problem of denoising polynomial phase signals (PPS) by removing additive white Gaussian noise. Our approach is based on sparse representation using a trained ...

When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.

Abstract: In remote sensing image processing for Earth and environmental applications, super-resolution (SR) is a crucial technique for enhancing the resolution of low-resolution (LR) images. In this ...

Sparse Mixture of Experts (SMoE) is an effective solution for scaling up model capacity without increasing the computational costs. A crucial component of SMoE is the router, responsible for directing ...

This project is based on the official implementation associated with the paper "3D Gaussian Splatting for Real-Time Radiance Field Rendering", which can be found here. Abstract: *Most existing 3D ...